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Data mining with R :learning with ca...

Torgo, Luís.

Data mining with R :learning with case studies /

紀錄類型:	書目-投影資料、錄影資料、電影片 : Monograph/item
正題名/作者:	Data mining with R :/ Luís Torgo.
其他題名:	learning with case studies /
作者:	Torgo, Luís.
出版者:	Boca Raton, FL :Chapman & Hall/CRC, : c2011.,
面頁冊數:	xv, 289 p. :ill. ; : 25 cm.;
提要註:	"The versatile capabilities and large set of add-on packages make R an excellent alternative to many existing and often expensive data mining tools. Exploring this area from the perspective of a practitioner, Data mining with R: learning with case studies uses practical examples to illustrate the power of R and data mining. Assuming no prior knowledge of R or data mining/statistical techniques, the book covers a diverse set of problems that pose different challenges in terms of size, type of data, goals of analysis, and analytical tools. To present the main data mining processes and techniques, the author takes a hands-on approach that utilizes a series of detailed, real-world case studies: predicting algae blooms, predicting stock market returns, detecting fraudulent transactions, classifying microarray samples. With these case studies, the author supplies all necessary steps, code, and data. Resource: A supporting website mirrors the do-it-yourself approach of the text. It offers a collection of freely available R source files that encompass all the code used in the case studies. The site also provides the data sets from the case studies as well as an R package of several functions"--
標題:	R (Computer program language) -
ISBN:	9781439810187 (hbk.) :

Data mining with R :learning with case studies /
Torgo, Luís.

Data mining with R :learning with case studies /Luís Torgo. - Boca Raton, FL :Chapman & Hall/CRC,c2011. - xv, 289 p. :ill. ;25 cm. - Chapman & Hall/CRC data mining and knowledge discovery series. - Chapman & Hall/CRC data mining and knowledge discovery series.

Includes bibliographical references and indexes.

"The versatile capabilities and large set of add-on packages make R an excellent alternative to many existing and often expensive data mining tools. Exploring this area from the perspective of a practitioner, Data mining with R: learning with case studies uses practical examples to illustrate the power of R and data mining. Assuming no prior knowledge of R or data mining/statistical techniques, the book covers a diverse set of problems that pose different challenges in terms of size, type of data, goals of analysis, and analytical tools. To present the main data mining processes and techniques, the author takes a hands-on approach that utilizes a series of detailed, real-world case studies: predicting algae blooms, predicting stock market returns, detecting fraudulent transactions, classifying microarray samples. With these case studies, the author supplies all necessary steps, code, and data. Resource: A supporting website mirrors the do-it-yourself approach of the text. It offers a collection of freely available R source files that encompass all the code used in the case studies. The site also provides the data sets from the case studies as well as an R package of several functions"--

ISBN: 9781439810187 (hbk.) :NT2801

LCCN: 2010036935Subjects--Topical Terms:

253547
R (Computer program language)

LC Class. No.: QA76.9.D343 / T67 2011

Dewey Class. No.: 006.3/12

Data mining with R :learning with case studies /
LDR:02674ngm a2200265 a 4500 001 274955
003 OCoLC
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008 140604s2011 flua b 001 0 eng
010 $a 2010036935
020 $a 9781439810187 (hbk.) : $c NT2801
020 $a 1439810184 (hbk.)
035 $a (OCoLC)665064348
040 $a DLC $c DLC $d YDX $d YDXCP $d KMU
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245 1 0 $a Data mining with R : $b learning with case studies / $c Luís Torgo.
260 $a Boca Raton, FL : $c c2011. $b Chapman & Hall/CRC,
300 $a xv, 289 p. : $b ill. ; $c 25 cm.
490 1 $a Chapman & Hall/CRC data mining and knowledge discovery series
504 $a Includes bibliographical references and indexes.
520 $a "The versatile capabilities and large set of add-on packages make R an excellent alternative to many existing and often expensive data mining tools. Exploring this area from the perspective of a practitioner, Data mining with R: learning with case studies uses practical examples to illustrate the power of R and data mining. Assuming no prior knowledge of R or data mining/statistical techniques, the book covers a diverse set of problems that pose different challenges in terms of size, type of data, goals of analysis, and analytical tools. To present the main data mining processes and techniques, the author takes a hands-on approach that utilizes a series of detailed, real-world case studies: predicting algae blooms, predicting stock market returns, detecting fraudulent transactions, classifying microarray samples. With these case studies, the author supplies all necessary steps, code, and data. Resource: A supporting website mirrors the do-it-yourself approach of the text. It offers a collection of freely available R source files that encompass all the code used in the case studies. The site also provides the data sets from the case studies as well as an R package of several functions"-- $c Provided by publisher.
520 $a "This hands-on book uses practical examples to illustrate the power of R and data mining. Assuming no prior knowledge of R or data mining/statistical techniques, it covers a diverse set of problems that pose different challenges in terms of size, type of data, goals of analysis, and analytical tools. The main data mining processes and techniques are presented through detailed, real-world case studies. With these case studies, the author supplies all necessary steps, code, and data. Mirroring the do-it-yourself approach of the text, the supporting website provides data sets and R code"-- $c Provided by publisher.
650 0 $2 96060 $a R (Computer program language) $3 253547
650 0 $2 96060 $a Data mining $3 226569
830 0 $a Chapman & Hall/CRC data mining and knowledge discovery series $3 362798
900 $c 到館:2014/06/10 $d 編目:2014/05/28